Introduction

At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world.

Your role and responsibilities

We are seeking a highly skilled and hands-on QA Engineering Manager who combines strong leadership with deep technical expertise in quality engineering. This role requires actively contributing to test strategy, automation, and quality practices for a product that supports various deployments while leading a team of QA Engineers. The ideal candidate is passionate about building scalable quality frameworks, driving automation, and embedding quality across the SDLC.

Required education
Bachelor's Degree

Preferred education
Master's Degree

Required technical and professional expertise
Required Professional and Technical ExpertiseQualifications & Experience

• 9+ years of experience in Quality Assurance and test engineering, including 3+ years in leadership roles
• 2+ years of people management experience, including mentoring and team development

Technical Expertise

• Strong experience testing, automating, and managing distributed, scalable SaaS applicationsbuilt on:
  • REST APIs
  • Microservices architecture
  • Container-based environments
• Hands-on exposure to:
  • Automation frameworks: Cypress, Selenium, etc.
  • Testing types: API testing, UI testing, performance testing, and security testing
• Familiarity with:
  • CI/CD pipelines and DevOps practices
  • Cloud-native technologies such as Kubernetes, OpenStack, or similar platforms

Leadership & Delivery

• Experience preparing and presenting quality metrics and reports for leadership
• Proven ability to manage multiple stakeholders across planning, execution, and tracking phases
• Strong experience working with cross-functional and cross-cultural teams across geographies

Coaching & Mentoring

• Passion for technical coaching and mentoring, including:
  • Guiding junior engineers
  • Conducting code reviews
  • Supporting system design discussions

Core Skills & Attributes

• Excellent communication skills (verbal and written) with strong assertiveness and leadership presence
• Strong people management skills, including recruiting, motivating, negotiating, and team-building
• Demonstrated growth mindset with the ability to quickly learn new tools and technologies
• Highly organized with the ability to manage multiple priorities in a fast-paced environment
• Strong focus on transparency, with the ability to identify risks, report issues, and drive solutions
• Effective team player, willing to collaborate across global teams and time zones

Preferred technical and professional experience

* Advanced AI Knowledge: Experience with quantum and neuromorphic architectures for next-generation AI, including knowledge representation and reasoning, symbolic and trainable logic, and causal inference. * Specialized AI Expertise: Exposure to computer vision, NLP, question answering, and other specialized areas of Artificial Intelligence Solutions. * Business Acumen: Experience with plan administration, budget attainment, and client satisfaction measurement, ensuring effective operational management of software development.

Years of Experience:
8-20